Google recently announced the expansion of Cloud Bigtable’s replication capabilities, giving users the flexibility to make your data available across a region or worldwide. Now in beta, this enhancement allows customers to create a replicated cluster in any zone at any time.

This is the same functionality that is proven in several Google products, including Google Search, Google Maps, and YouTube, as well as used by Google Cloud customers in industries and workloads including Internet of Things (IoT), finance, ad tech, gaming, and more, to deliver personalization and analytics features to users worldwide.Apps using Cloud Bigtable can serve data quickly to users and can now do that even when the data has been created thousands of miles away.

Cloud Bigtable now makes it easy to globally distribute data. With this feature Customers can:

· Serve global audiences with lower latency by bringing data that’s generated in any region, such as personalized recommendations, closer to the users wherever they are.· Aggregate data ingested from worldwide sources (such as IoT sensor data) to a single location for aggregation, analytics, and machine learning.· Increase the availability and durability of your data beyond the scope of a single region· Isolate batch and serving workloads.

Every cluster in a replicated instance accepts both reads and writes, providing multi-primary replication with eventual consistency. Users can set up replication by adding one or more Cloud Bigtable clusters, whether on the same continent or halfway around the world.

Cloud Bigtable's high-performance global replication is enabled by Google's global private network, which spans the globe and provides high-throughput, low-latency connections around the world to support large-scale database workloads.

To add to this, last month, Google Cloud’s Apigee team added new data export and asynchronous reporting features to the Apigee API management platform’s analytics capabilities.

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